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tcVISION: Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION provides easy and fast data migration for mainframe application modernization projects and enables bi-directional data replication between mainframe, cloud, Linux, Unix, and Windows platforms

The globalization of markets, the increase of data volumes, 24x7 operations, changing business conditions and high demand for up-to-date information require new data transfer and exchange solutions for heterogeneous IT architectures.

The tcVISION solution focuses on changed data capture (CDC) when transferring information between mainframe data sources and LUW databases and applications. Through an innovative technology, changes occurring in any mainframe application data are tracked and captured, and then published to a variety of RDBMS and other targets.

tcVISION's capture facilities detect changes in mainframe data sources without programming effort, and reduce the amount of data that must be transferred between systems to an absolute minimum. tcVISION guarantees transparent, efficient and auditable data transfer between sources and targets, and provides powerful routines to perform efficient, reliable bulk transfers of data. The tcVISION solution focuses on changed data when transferring information between mainframe and LUW data sources.

tcVISION is an innovative technology that offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to a variety of targets.

tcVISION in 90 Seconds...

The tcVISION Solution

  • tcVISION provides modeling and mapping via a GUI modeler.
  • tcVISION enables bi-directional replication for a variety of non-mainframe sources, including Amazon Web Services (AWS), Oracle Database, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, IBM Informix and PostgreSQL.
  • tcVISION has implemented Big Data as a standard output platform.
  • tcVISION allows mainframe data to quickly and easily be integrated in near real-time into Hadoop-based operative applications or Business Intelligence and Analytics.
  • tcVISION change capture facilities identify changes in mainframe and relational data sources without programming effort.
  • tcVISION transfers the changed data to target mainframe and relational databases and applications in real time, in time intervals or in response to events.
  • tcVISION guarantees transparent and auditable data transfer between sources and targets.
  • tcVISION provides powerful processors to perform fast, efficient and reliable transfers of mass data.
  • tcVISION can deliver drastic savings for all mainframe-related data exchange operations. Change Data Capture reduces costs: less processing time, less hardware and less human resources are needed for exchange of information.
  • tcVISION reduces the amount of data that must be transferred between the different systems to an absolute minimum.
  • Only data that has been changed is transferred--only data that is really needed will be moved.

Read More: tcVISION - Supported Sources and Targets

Try the tcVISION Amazon Machine Image (AMI) on the AWs Marketplace

Read More: tcVISION - Mainframe-to-Amazon Web Services (AWS) Data Replication

Read More: tcVISION - Replication to Big Data Targets, Technology, Benefits, and Case Studies

View tcVISION Instructional Videos


Supported Environments


Target database can reside on a workstation, AWS Cloud, or on an open systems or Windows server (e.g., Oracle, SQL Server, Sybase, etc.)--or another mainframe database (e.g., DL/1 -> DB2).

Transfer to the target system: SQL, HTML, XML or any user-specific format that can be accessed by an API



tcVISION Data Sheet

tcVISION Mainframe-to-AWS Data Replication Fact Sheet

Support for Adabas

Support for BigData

Support for DATACOM

Support for DB2

Support for DLI

Support for IDMS

Support for IMS

Support for Kafka

Support for MongoDB

Support for MSSQL

Support for Oracle

Support for PostgreSQL

Support for Sequential Files

Support for VSAM

tcVISION Data Sheet - Mainframe Data to Cost Efficient Cloud Platforms

White Paper
Legacy Data Migration: DIY Might Leave You DOA




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